HPC

We recently had the opportunity to consult Eratosthenes CoE in efficiently managing and processing large geospatial datasets for crop classification. The project’s primary goal was to utilize Google Earth Engine (GEE) and Xarray to create and manage extensive datasets, crucial for their research. The existing GEE Python libraries were insufficient for handling the volume and … Read more

Paradisiotis, a leading enterprise in the poultry industry in Cyprus, often faces challenges in managing production effectively due to variability in growth rates and market demands. To address these issues, a sophisticated, data-driven approach using high-performance data analytics has been proposed, revolutionizing the way poultry management is conducted. The proposed system employs a robust model … Read more

We are pleased to share a success story from our collaboration with Vlassides Winery, where we provided consultation on developing a model to accurately predict the harvest dates for Merlot grapes using flowering dates and environmental parameters. The available data included meteorological data from the Cyprus Department of Meteorology, alongside bookkeeping information from Vlassides Winery.  … Read more

Charalambides-Christis aimed to leverage High Performance Data Analytics to understand the impact of various product offers on sales and costs. Although this is a frequent and well-studied business problem, in practice, the circumstances are unique for every company and situation, requiring a tailored approach to accurately assess the impact.  The primary goal was to identify … Read more

This May, we had the privilege of leading an engaging tutorial titled “Accelerating Generative AI with PyTorch” at the ISC High Performance 2024 conference. Hosted in the vibrant city of Hamburgh, our session offered a deep dive into the latest computational challenges and optimization techniques that are shaping the future of Generative AI.  The intermediate-level … Read more